AcademyWorkflowsData and reporting

Adaptive RAG with Google Gemini and Qdrant

Teams building a knowledge assistant over their own documents who want retrieval to adapt to the kind of question asked.

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adaptive-rag-with-google-gemini-qdrant-context-aware-query-answering.json

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What it does

An n8n workflow that classifies each user question as factual, analytical, opinion or contextual, then rewrites the query with a strategy suited to that type. It retrieves matching documents from a Qdrant vector store and uses Google Gemini to write the answer from the retrieved context.

Use cases

  1. 01Answer questions over an internal document store
  2. 02Handle factual and analytical questions differently
  3. 03Connect a chatbot or API as the entry point

Connects

AI Agent · Simple Memory · Qdrant Vector Store · Embeddings Google Gemini · Google Gemini Chat Model

Questions about
Adaptive RAG with Google Gemini and Qdrant.

What is Adaptive RAG with Google Gemini and Qdrant used for?

Teams building a knowledge assistant over their own documents who want retrieval to adapt to the kind of question asked. An n8n workflow that classifies each user question as factual, analytical, opinion or contextual, then rewrites the query with a strategy suited to that type. It retrieves matching documents from a Qdrant vector store and uses Google Gemini to write the answer from the retrieved context.

How do I import Adaptive RAG with Google Gemini and Qdrant into n8n?

Copy the workflow JSON from this page and paste it onto the n8n canvas with Ctrl+V or Cmd+V. Then connect your credentials in each node.

Is Adaptive RAG with Google Gemini and Qdrant safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.

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